Postdoctoral Researcher

Key Skills

Aartificial intelligence, Effective communication skills, Jupyter Notebook, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PySpark, Python Programming, PyTorch, SPARK Programming, TensorFlow

Job Description

Internship Details

Our Research PhD Internship is designed for post-doctoral candidates who have completed their PhD within the last couple of years and worked in their area of expertise since graduation as a postdoc, professor, or industry researcher/scientist. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply the innovative solutions in our products. Our internships are designed to be a minimum of 3 months with the opportunity to extend beyond the initially agreed term based on company needs and candidate’s desires. Truveta can accommodate full/part time hours throughout the year. If you are a master’s candidate, please apply to our other job posting.

This Postdoc Researcher opportunity is open throughout the year (not only summer) for candidates that satisfy the above conditions.

This Opportunity:

We are looking for machine learning experts who can utilize applied science and software development skills in building our Artificial Intelligence (AI) systems that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent of diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.

In this role, you will:

• Innovate in applying State-of-the-art (SOTA) Artificial Intelligence techniques
• Collaborate with and contribute to the success of other teams and team members
• Collaborate with internal groups of experts with diverse backgrounds
• Deliver next generation of innovation in trustworthy healthcare

Key Qualifications:

Expertise in applying ML/AI SOTA methods in at least one of the following focus areas:

• Natural language processing
• Image processing
• Genomic data processing
• Multimodal modeling

Preferred Qualifications:

• Experience in adopting pretrained models to new scenarios with additional structured/unstructured inputs
• Good written and verbal communication, including good presentation skills
• Key Differentiators: Grounded in a growth mindset, advocate for inclusion and diversity
• Experience using Spark/PySpark, Jupyter notebook, common ML toolkits